Adapting Open Science and Pre-registration to Longitudinal Research

Autonomous Motives Foster Sustained Commitment to Action: Integrating Self-Determination Theory and the Social Identity Approach

Social change movements may take years or decades to achieve their goals and thus require ongoing efforts from their supporters. We apply the insights of self-determination theory to examine sustained collective action over time. We expected that autonomous motivation, but not controlled motivation, would predict sustained action. We also examine whether autonomous motivation shapes and is shaped by social identification as a supporter of the cause. Longitudinal data were collected from supporters of global poverty reduction (N = 263) at two timepoints 1 year apart. Using latent change score modeling, we found that increases in autonomous motivation positively predicted increases in opinion-based group identification, which in turn predicted increases in self-reported collective action. Controlled motivation (Time 1) negatively predicted changes in action. We concluded that autonomous motivation predicts sustained action over time, while promoting controlled motives for action may backfire because it may undermine identification with the cause.

A practical guide to cross-cultural and multi-sited data collection in the biological and behavioural sciences

Researchers in the biological and behavioural sciences are increasingly conducting collaborative, multi-sited projects to address how phenomena vary across ecologies. These types of projects, however, pose additional workflow challenges beyond those typically encountered in single-sited projects. Through specific attention to cross-cultural research projects, we highlight four key aspects of multi-sited projects that must be considered during the design phase to ensure success: (1) project and team management; (2) protocol and instrument development; (3) data management and documentation; and (4) equitable and collaborative practices. Our recommendations are supported by examples from our experiences collaborating on the Evolutionary Demography of Religion project, a mixed-methods project collecting data across five countries in collaboration with research partners in each host country. To existing discourse, we contribute new recommendations around team and project management, introduce practical recommendations for exploring the validity of instruments through qualitative techniques during piloting, highlight the importance of good documentation at all steps of the project, and demonstrate how data management workflows can be strengthened through open science practices. While this project was rooted in cross-cultural human behavioural ecology and evolutionary anthropology, lessons learned from this project are applicable to multi-sited research across the biological and behavioural sciences.

Passive and social screen time in children with autism and in association with obesity

Background

Screen time has been identified as a risk factor for childhood obesity, but the media landscape has evolved rapidly. Children with autism tend to be heavy users of screens and have an elevated prevalence of obesity. We know little about screen use patterns among children with autism vs. typically developing (TD) peers and in association with obesity.

Methods

Baseline data from 10,842 participants in the Adolescent Brain Cognition Development Study was used to characterize time spent with child-reported passive screen use (television/movies/watching videos), playing video games, and using social media. Duration of screen time by autism status and gender was summarized as mean time per day; obesity was defined using CDC/WHO criteria. A propensity score analysis was used to create a matched dataset for analysis.

Results

Overall, 1.7% of children were was identified as having autism. Significant mean differences were observed by autism status and gender for both passive viewing and playing video games. Compared to TD children, boys with autism spent more time (2.9 vs. 2.3 h, p < 0.001) watching TV, movies or videos, as did girls (3.0 vs. 2.0 h, p = 0.002). Compared to TD peers, boys with autism reported more video game time (102.7 vs. 77.5 min, p = 0.001), as did girls with autism (64.4 vs. 37.9 min, p = 0.03); girls with autism also spent more time on social media sites or video chat (45.5 vs. 21.9 min, p = 0.04). Overall, obesity prevalence increased with increasing screen time duration, significantly for passive screen time (p-value = 0.002) and texting (p-value = 0.02). Associations between obesity and screen time duration did not differ by autism status.

Discussion

Children with autism spend more time playing video games and on passive and social screen activities than their TD peers, with some variations by gender. High rates of social media use among girls with autism and multiplayer video game use among both boys and girls with autism may challenge the notion that the high levels of screen time reflect social isolation in the group. Given potential positive aspects of screen time in children with autism movement to focus on content and context is appropriate.